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Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication

Overview of attention for article published in Frontiers in Water, September 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#37 of 718)
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

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18 X users

Citations

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19 Dimensions

Readers on

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29 Mendeley
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Title
Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication
Published in
Frontiers in Water, September 2022
DOI 10.3389/frwa.2022.981745
Authors

Gabriëlle J. M. De Lannoy, Michel Bechtold, Clément Albergel, Luca Brocca, Jean-Christophe Calvet, Alberto Carrassi, Wade T. Crow, Patricia de Rosnay, Michael Durand, Barton Forman, Gernot Geppert, Manuela Girotto, Harrie-Jan Hendricks Franssen, Tobias Jonas, Sujay Kumar, Hans Lievens, Yang Lu, Christian Massari, Valentijn R. N. Pauwels, Rolf H. Reichle, Susan Steele-Dunne

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 24%
Student > Bachelor 2 7%
Professor 2 7%
Student > Doctoral Student 2 7%
Student > Master 2 7%
Other 3 10%
Unknown 11 38%
Readers by discipline Count As %
Earth and Planetary Sciences 6 21%
Engineering 4 14%
Environmental Science 2 7%
Mathematics 1 3%
Agricultural and Biological Sciences 1 3%
Other 1 3%
Unknown 14 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 October 2022.
All research outputs
#3,088,431
of 25,541,640 outputs
Outputs from Frontiers in Water
#37
of 718 outputs
Outputs of similar age
#61,137
of 421,127 outputs
Outputs of similar age from Frontiers in Water
#5
of 72 outputs
Altmetric has tracked 25,541,640 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 718 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 421,127 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.